I was trying to replicate a math reasoning model using RAG. I want to run the predict stage of its retrieval model.Its originally trained using a google byt5-small. So,I first write a py script to transfer the source model file from .safetensors to .ckpt. then, I config the transfered .ckpt file as the checkpoint(because the model is Pytorch Lightning module) then it says: self.trainer.strategy.load_model_state_dict( 15944 File "/root/miniconda3/envs/lean/lib/python3.11/site-packages/pytorch_lightning/strategies/strategy.py", line 371, in load_model_state_dict 15945 self.lightning_module.load_state_dict(checkpoint["state_dict"], strict=strict) 15946 File "/root/miniconda3/envs/lean/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2215, in load_state_dict 15947 raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( 15948 RuntimeError: Error(s) in loading state_dict for PremiseRetriever: 15949 Missing key(s) in state_dict:.... ... Unexpected key(s) in state_dict: .... Continue reading...